Analysis of Bus Commuting Time of High School Students in Taichung City, Taiwan

Yao-Nan Lien, Jing-Doo Wang, Shin-Hung Pan, Cheng-Yuan Ho and Shu-Chuan Liao
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Yao-Nan Lien: Department of Computer Science and Information Engineering, Asia University, Taiwan
Jing-Doo Wang: Department of Computer Science and Information Engineering, Asia University, Taiwan
Shin-Hung Pan: Department of M-Commerce and Multimedia Applications, Asia University, Taiwan
Cheng-Yuan Ho: Department of Computer Science and Information Engineering, Asia University, Taiwan
Shu-Chuan Liao: Department of Social Work, Asia University, Taiwan

Advances in Decision Sciences, 2020, vol. 24, issue 2, 167-189

Abstract: Most high school students in the metropolitan areas of Taiwan commute to school by public transportation. Due to the great pressure of academic workload, the time spent on commuting is an unbearable burden. In this study, by using both field study and the analysis based on the Taichung City Traffic Big Data database, we analyzed the bus journeying behavior of high school students of Taichung City on their school commuting. Our study results will be provided to the city government and high schools as a reference to support their transportation policy making. The results of the study show that, with the exception of a very small number of students, most students ridded less than one hour. It took less time to go to school in the morning and more time to get home in the afternoon. We also provided descriptive statistics on the commuting time of the main commuters of each school. The results of big data analysis was verified by the field observation without any obvious inconsistency, which lays an empirical basis for further use of big data analysis in the future.

Keywords: Smart Transportation; Big Data Analytics (search for similar items in EconPapers)
JEL-codes: C46 I28 R40 R41 (search for similar items in EconPapers)
Date: 2020
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